Postdoctoral Research Fellow in Human Statistical Genetics : Edinburgh, United Kingdom
Identification of pleiotropic loci for complex diseases and correlated traits.
A statistical/quantitative geneticists post is available within the Quantitative Genetics and Genomics Group at the Roslin Institute. The project will focus on developing methods for identifying pleiotropic loci for multiple traits; and to apply these methods to different cancer sites, and/or to one cancer and intermediate quantitative traits. Over 60,000 samples genotyped at least for 300,000 SNPs will be available for analyses. Inquiries should be addressed to Albert Tenesa. The post holder must have a PhD in statistical genetics or related discipline (quantitative genetics, statistics, population genetics) or equivalent level of professional experience.
The ideal candidate will:
- Be proficient in statistical methodology, quantitative genetics and/or population genetics.
- Be a proficient programmer in languages appropriate for scientific computing (e.g. fortran, C, C++, or Java)
- Have experience in the use of mixed-models and/or Bayesian statistics.
- Have experience in developing new methodology.
- Have previous experience with high-throughput sequencing data.
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Have evidence of leading research and publishing their work in peer-reviewed journals.
This is a full-time and fixed term post of 12 months.
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